We are hiring a hands-on AI engineer to design, build and deploy production-grade enterprise AI solutions for a leading financial markets infrastructure organisation. The role works closely with business and technology teams to convert high-value use cases into secure, scalable applications.

Key responsibilities:

- Build and productionise Retrieval-Augmented Generation (RAG) pipelines, LLM-based agents and agentic workflows.
- Develop Python services, APIs, data ingestion and transformation pipelines, and integrations with enterprise systems.
- Work with vector or graph databases and improve retrieval quality through chunking, embeddings, hybrid search and reranking.
- Implement evaluation, prompt and model guardrails, access controls, auditability, observability and performance monitoring.
- Containerise and deploy services using Docker and Kubernetes; contribute to CI/CD and MLOps/LLMOps practices.
- Partner with users through discovery, prototyping,



rollout and adoption while retaining hands-on production ownership.

Candidate profile:

- 3 to 6 years of relevant experience, with recent hands-on ownership of production AI or GenAI applications.
- Strong Python development, API engineering and data pipeline skills.
- Demonstrated experience with production RAG, LLM agents or agentic AI workflows.
- Working knowledge of vector databases such as Pinecone, Milvus, Qdrant, Weaviate or pgvector.
- Exposure to cloud or on-premise deployments, Docker, Kubernetes, CI/CD, observability and security controls.
- Explicit communication and ability to work with business stakeholders in a regulated environment.

Qualification: BE/BTech/MCA in Computer Science, IT, Data Science or an allied engineering discipline.

📌 Forward Deployed AI Engineer Deputy Manager (Mumbai)
🏢 Avant Garde
📍 Mumbai